Start from Scratch, Grow to Expert
No math background? No problem. You’ll begin with arithmetic basics and progress to advanced statistical concepts used in data science.
Launch Your Career in Data Science with Core Quant Skills
The most comprehensive maths & stats for data science course- With Excel, Python for stats, and visualizations made simple
- Practice with real-world data sets and analytical tasks
- Learn, apply, and gain top global opportunities
Master the Language of Data. Build Confidence in Numbers.
- Develop a portfolio that reflects analytical thinking and statistical skill
- Get access to mentorship, virtual internships, and expert career support
- Become job-ready with projects, assessments, and hands-on support
- Career coaching, job prep, and resume optimization included
Fuel Your Data Science Journey from the Ground Up
- Maths and stats are the backbone of every great data analyst, scientist, or AI engineer. Master the essentials and join the global data talent pipeline
Next Cohort
January 15, 2026
Duration
8 weeks
Format
Live, Online
Next Cohort
January 15, 2026
Duration
8 weeks
Format
Live, Online
Why This Is the Most Effective Mathematics and Statistics Course for Data Science
This course bridges the gap between theory and industry-level data science needs, making you job-ready from day one.
Key Features
No prior experience in advanced math or programming required—we start from the basics
Strong foundation in linear algebra, calculus, probability, and statistics tailored to real data applications
Hands-on projects in Python to apply each concept to real-world datasets
Focus on data-driven thinking, hypothesis testing, A/B testing, regression, and predictive modeling
No prior experience in advanced math or programming required—we start from the basics
Strong foundation in linear algebra, calculus, probability, and statistics tailored to real data applications
Hands-on projects in Python to apply each concept to real-world datasets
Focus on data-driven thinking, hypothesis testing, A/B testing, regression, and predictive modeling
Practical examples from marketing analytics, health data, finance, and more
Globally recognized certification demonstrating your mastery of core data science math skills
Blend of live instructor-led sessions and self-paced content for flexible learning
Guided practice exercises, quizzes, and case studies for each module
Weekly mentorship sessions with experienced data scientists and statisticians
Access to Data Science Lab for experimentation with real datasets
Community support group for study partnerships and accountability
Career support: LinkedIn optimization, resume reviews, and interview prep
Eligibility for virtual internship opportunities and job placement support
Why is Math & Stats for Data Science One of the Most In-Demand Careers Right Now
Credible Analysis Foundation
Statistical fluency ensures your analyses are trusted and defensible in business decision-making.
Required for Data Roles
Statistics knowledge is tested in data science interviews and expected in senior analytics positions.
Avoid Costly Mistakes
Proper statistical understanding prevents data misinterpretation that can lead to poor business decisions.
Career Longevity
Math and stats skills remain relevant regardless of changing tools and technologies.
What You'll Learn and Get in this Job-Ready Math & Stats for Data Science Course
Robust Math Curriculum
Learn Descriptive and Inferential Statistics, Probability, Hypothesis Testing, and Linear Algebra for Data Science.
Join Live Weekly Classes
Learn from top instructors in real-time, with live demos, problem-solving sessions, and Q&A to deepen your understanding.
Build Real-World Projects
You’ll complete 3–5 portfolio worthy projects such as A/B testing analysis, statistical data validation, and probability modeling.
Who should enrol in this Math & Stats for Data Science course
Beginners
Build the correct mental models for understanding data from day one.
Data Analysts
Stop guessing—learn to validate your findings with statistical rigor.
Career Switchers
Gain the quantitative confidence needed for technical data roles.
Freelancers
Deliver analyses that stand up to scrutiny and drive real value.
Researchers
Ensure your data methodologies are sound and scientifically valid.
Students
Master the mathematical fundamentals often glossed over in bootcamps.
Build the correct mental models for understanding data from day one.
Math & Stats for Data Science Syllabus
Learning Path
Math & Stats for Data Science Skills You'll Master
Technical Skills
Probability & Statistics
Regression Analysis
Hypothesis Testing
Professional & Career Skills
Analytical Thinking
Statistical Interpretation
Technical Skills
Probability & Statistics
Regression Analysis
Hypothesis Testing
Professional & Career Skills
Analytical Thinking
Statistical Interpretation
Math & Stats for Data Science Tools You'll Use And Master
Technical Skills
An Immersive Learning Experience With Ayonaire
Peer-To-Peer Engagement
Connect with fellow learners via our community channels. Exchange ideas and build lasting relationships, just like a real classroom, but better.
Flexi Learn
Missed a session? No worries. Access on-demand class recordings anytime, so you never lose your rhythm and always stay in sync with your peers.
Mentoring Sessions
Get personalized guidance from top mentors. Whether you need project support, doubt-clearing, or career advice, we’ve got your back with expert-led mentoring.
Learning Support
Our dedicated support team ensures your learning journey is smooth. Stuck somewhere? Need direction? We’re just a message away, always.
Real-World Industry Projects That Prepare You for the Job
Apply everything you learn through hands-on projects built from real-world scenarios across top industries.
Project 1: Probability Analysis
Apply probability concepts to datasets.
Project 2: Regression Modeling
Build regression models for prediction.
Project 3: Hypothesis Testing
Perform statistical hypothesis testing.
Project 4: Statistical Case Study
Deliver a complete statistical analysis project.
Top Companies Hiring Data Science Analysts
Choose Your Learning Format
We understand that every learner is unique. That's why we offer two flexible formats to guide you with a clear path to global opportunities.
Live Instructor-Led Classes (Virtual)
Perfect if you prefer structured guidance, accountability, and real-time support.
You'll Get:
Weekly live classes with hands-on coding and project sessions
Real-time feedback and mentor access
Peer learning and project-based collaboration
Structured assignments and performance tracking
A strong community to keep you motivated
Self-Paced Learning
Ideal for professionals balancing work or students who learn independently.
You'll Get:
24/7 access to the complete course on our learning platform
Downloadable code, templates, and walkthroughs
Practical tasks that simulate real-world AI challenges
Support via community groups and periodic check-ins
Certificate of completion once you finish all milestones
Demand for Data Science Analysts is Increasing, Enroll to Transform Your Career
Demand for Data Science Analysts is Increasing, Enroll to Transform Your Career
Demand for Data Science Analysts is Increasing, Enroll to Transform Your Career
Demand for Data Science Analysts is Increasing, Enroll to Transform Your Career
Your Career Path After Completing This Math & Stats for Data Science Course
By the end of this course, you'll have job-ready skills that prepare you for multiple real-world Data roles.
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We Don't Just Teach You Data. We Help You Get Hired.
Our Math & Stats for Data Science Course Comes With Built-In Career Support To Help You Move From Learner To In-Demand Professional. Here's How We Do It.
Statistical Analysis Portfolio
Showcase rigorous A/B testing designs and deep statistical analysis of datasets.
Pass Technical Screenings
Confidently answer the probability and statistics questions that trip up most candidates.
Write About Methodology
Demonstrate your commitment to scientific rigor by explaining your statistical methods online.
Quant-Focused Resume
Highlight your solid mathematical foundation as a guarantee of reliable insights.
Apply to Research Roles
Target roles that require scientific validity, such as in user research or experimentation.
Network with Researchers
Connect with professionals who value statistical correctness and rigorous methodology.
Join The Global Math & Stats for Data Science Industry
From Billion-Dollar Startups To Government-Backed Innovation Hubs, Demand For Skilled Data Science Analysts Is Skyrocketing.
Math & Stats for Data Science Job Outlook & Industry Stats
Core Competency
Statistical literacy is a barrier to entry for top firms
Source:FAANG Hiring Guides
Data Trust
Stats knowledge prevents costly business errors
Source:Harvard Business Review
Universal Need
Applies to A/B testing, Marketing, and Operations
Source:Indeed Data Trends
Experimentation
Key for product-led growth companies.
Source:McKinsey Global AI Report
$100k – $160k
Salaries for quantitative analyst roles
Source:Glassdoor, Levels.fyi
Global Math & Stats for Data Science Salary Insights
Location
Avg. Monthly Salary
United States
$7,500 - $12,000
United Kingdom
$5,000 - $8,500
Europe
$4,500 - $8,000
Remote Roles
$2,000 - $6,000
Source: Glassdoor, Levels.Fyi, PayScale, LinkedIn Jobs (2024)
Get Certified As A Data Science Analyst
After Completing Your Training And Projects, You'll Earn:
Math & Stats for Data Science Certificate (PDF & Badge)A Portfolio Of 3—5 ProjectsReadiness Approval For Internships, Freelance, Or Job SearchHear From Our Students
Our graduates are building careers, one skill at a time. Here's what they have to say about learning with Ayonaire.
456+
Customers Have GivenRating For Support
Average Rating 4/5
Simeon A.
@Simeon A.
Port Harcourt
“Before joining Ayonaire, I had never written a line of Python. Now I've built dashboards, written SQL queries, and landed my first freelance data analytics gig.”
Esther K.
@Esther K.
Nairobi
“This course didn't just teach me tools—it taught me how to think like a data professional. The live projects and career support were game changers.”
Chinedu M.
@Chinedu M.
Enugu
“I was skeptical about online learning, but this program felt like a real classroom. I got feedback, community, and results.”
Rebecca T.
@Rebecca T.
Accra
“Ayonaire helped me connect the dots—from data cleaning to storytelling. The instructors really cared, and the mentorship was top-notch.”
Michael O.
@Michael O.
Abuja
“The job prep module was exactly what I needed. My resume got shortlisted within two weeks of finishing the course, and I just landed a remote role!”
Fatima Z.
@Fatima Z.
Dakar
“The portfolio I built here gave me the confidence to start pitching clients. I'm now consulting for a fintech company—and it all started with Ayonaire.”
Blessing E.
@Blessing E.
Lagos
“I had tried other courses before, but Ayonaire gave me structure, mentorship, and a real sense of direction. It's the first time I felt seen and supported in my tech journey.”
Tunde A.
@Tunde A.
Kigali
“The certification helped me stand out, but it was the portfolio and project work that got me hired. Ayonaire's model really works if you follow through.”
Data Is The Future. So Are You.
Join The Next Generation Of Data Engineers Reshaping Industries. Get Trained. Get Hired.
How To Apply To The Math & Stats for Data Science Course
Getting Started On Your Data Journey With Ayonaire Is Easy, Clear, And Fully Online. Here's How To Begin.
1
Fill Out the Application Form
Select your preferred learning track (Live Virtual Classes or Self-Paced), share your details, and tell us your career goals so we can guide your journey from day one.
2
Choose a Payment Option That Works for You
You can pay in full or choose a flexible installment plan. We offer multiple secure payment methods to make enrollment seamless and accessible.
3
Get Onboarded and Meet Your Mentor
Once payment is confirmed, you’ll receive instant access to your learning portal, community group, onboarding materials, and your instructor’s welcome kit.
4
Begin Your Learning Journey
Start your training with live Zoom classes or self-paced content (coming soon). Engage in weekly sessions, hands-on projects, and mentorship as you build your skills.
1
Fill Out the Application Form
Select your preferred learning track (Live Virtual Classes or Self-Paced), share your details, and tell us your career goals so we can guide your journey from day one.
2
Choose a Payment Option That Works for You
You can pay in full or choose a flexible installment plan. We offer multiple secure payment methods to make enrollment seamless and accessible.
3
Get Onboarded and Meet Your Mentor
Once payment is confirmed, you’ll receive instant access to your learning portal, community group, onboarding materials, and your instructor’s welcome kit.
4
Begin Your Learning Journey
Start your training with live Zoom classes or self-paced content (coming soon). Engage in weekly sessions, hands-on projects, and mentorship as you build your skills.
Download Course Brochure
Download Our Full Brochure With Curriculum, Tools, And Mentorship Details.
Cost Of Admission
Get Full Access To All Training, Mentorship, Templates, Resources, And Certification.
Apply Now
Program Benefits
Live masterclass by Microsoft expertsAccess to the Microsoft Learn platform for certificationDevelop industry-ready skills in AI and machine learningReal-world projects with Microsoft’s cutting-edge toolsDedicated support for career growthUpcoming Math & Stats for Data Science Online Classes
Data Science Analyst
Type: Online
Date: January 1st
05:00PM - 7:00PM (WAT)
Type: NGN 1,46646
Ngn 1,236,678
*Valid Till January 15
Data Science Analyst
Type: Online
Date: January 1st
05:00PM - 7:00PM (WAT)
Type: NGN 1,46646
Ngn 1,236,678
*Valid Till January 15
Data Science Analyst
Type: Online
Date: January 1st
10:00AM - 12:00PM (WAT)
Type: NGN 1,46646
Ngn 1,236,678
*Valid Till January 15
Data Science Analyst
Type: Online
Date: January 1st
10:00AM - 12:00PM (WAT)
Type: NGN 1,46646
Ngn 1,236,678
*Valid Till January 15
Program Cohorts
Math & Stats for Data Science January 2026, Cohort 4th
1
Program Induction
3Dec.2026
20:00 PST
2
Regular Classes
6 Dec.2026 - 2 Ayg.2026
20:00 - 00:00 PST
Weekend
SaSu
Date
Time
Batch Type
1
Program Induction3Dec.2026
20:00 PST
2
Regular Classes6 Dec.2026 - 2 Ayg.2026
20:00 - 00:00 PST
Weekend
SaSu